FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224253504> ?p ?o ?g. }

• W4224253504 endingPage "5024" @default.
• W4224253504 startingPage "5024" @default.
• W4224253504 abstract "In the face of practical problems such as the increasing demand for shared bicycles and the number of faulty vehicles which are hard to handle and repair in time, shared bicycles operators tend to outsource recycling services to suppliers. To solve the problem of recycling supplier selection, this paper constructs a novel evaluation index system involving the three traditional dimensions and introduces an interval-valued Pythagorean fuzzy (IVPF) hybrid weighted decision-making model based on the self-confidence level. Subsequently, the self-confidence IVPF hybrid weighted average geometric operator and self-confidence IVPF ordered hybrid weighted average geometric operator are proposed by integrating the self-confidence level of experts, the superiority of the weighted and geometric average rules. The significant merit of the developed operators is that they can incorporate the self-confidence level of the expert as well as effectively combine the characteristics of the weighted and geometric average mechanism. A multi-attribute decision-making (MADM) framework is then constructed by using the proposed aggregation approach. Finally, on the basis of the established evaluation index system, a case concerning the green recycling supplier selection of shared bicycles is applied to display the superiority and practicability of the presented method." @default.
• W4224253504 created "2022-04-26" @default.
• W4224253504 creator A5014480572 @default.
• W4224253504 creator A5037136946 @default.
• W4224253504 creator A5042764987 @default.
• W4224253504 creator A5053157377 @default.
• W4224253504 creator A5062972118 @default.
• W4224253504 date "2022-04-20" @default.
• W4224253504 modified "2023-09-25" @default.
• W4224253504 title "Green Recycling Supplier Selection of Shared Bicycles: Interval-Valued Pythagorean Fuzzy Hybrid Weighted Methods Based on Self-Confidence Level" @default.
• W4224253504 cites W1765570948 @default.
• W4224253504 cites W1961335799 @default.
• W4224253504 cites W1975213758 @default.
• W4224253504 cites W1978192275 @default.
• W4224253504 cites W1980564456 @default.
• W4224253504 cites W1981116686 @default.
• W4224253504 cites W1991875445 @default.
• W4224253504 cites W2013932252 @default.
• W4224253504 cites W2038897934 @default.
• W4224253504 cites W2043572920 @default.
• W4224253504 cites W2049806837 @default.
• W4224253504 cites W2068864504 @default.
• W4224253504 cites W2085850992 @default.
• W4224253504 cites W2092606478 @default.
• W4224253504 cites W2098497896 @default.
• W4224253504 cites W2305863142 @default.
• W4224253504 cites W2391648306 @default.
• W4224253504 cites W2472478905 @default.
• W4224253504 cites W2530583575 @default.
• W4224253504 cites W2549491681 @default.
• W4224253504 cites W2583607461 @default.
• W4224253504 cites W2605666115 @default.
• W4224253504 cites W2610006655 @default.
• W4224253504 cites W2734401115 @default.
• W4224253504 cites W2736287459 @default.
• W4224253504 cites W2736792883 @default.
• W4224253504 cites W2793573377 @default.
• W4224253504 cites W2798217960 @default.
• W4224253504 cites W2803366142 @default.
• W4224253504 cites W2804622315 @default.
• W4224253504 cites W2809399083 @default.
• W4224253504 cites W2896481510 @default.
• W4224253504 cites W2902158509 @default.
• W4224253504 cites W2906775815 @default.
• W4224253504 cites W2910707782 @default.
• W4224253504 cites W2915522475 @default.
• W4224253504 cites W2916684251 @default.
• W4224253504 cites W2917177159 @default.
• W4224253504 cites W2941014970 @default.
• W4224253504 cites W2949980479 @default.
• W4224253504 cites W2950905257 @default.
• W4224253504 cites W2952619341 @default.
• W4224253504 cites W2952809827 @default.
• W4224253504 cites W2953509089 @default.
• W4224253504 cites W2972380256 @default.
• W4224253504 cites W2976297801 @default.
• W4224253504 cites W2986652469 @default.
• W4224253504 cites W2995662157 @default.
• W4224253504 cites W3036760384 @default.
• W4224253504 cites W3043457763 @default.
• W4224253504 cites W3096967152 @default.
• W4224253504 cites W3108913469 @default.
• W4224253504 cites W3111003120 @default.
• W4224253504 cites W3112922790 @default.
• W4224253504 cites W3119381974 @default.
• W4224253504 cites W3125930656 @default.
• W4224253504 cites W3127536216 @default.
• W4224253504 cites W3133309621 @default.
• W4224253504 cites W3156884746 @default.
• W4224253504 cites W3157821098 @default.
• W4224253504 cites W4200258448 @default.
• W4224253504 cites W4213116203 @default.
• W4224253504 doi "https://doi.org/10.3390/ijerph19095024" @default.
• W4224253504 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35564420" @default.
• W4224253504 hasPublicationYear "2022" @default.
• W4224253504 type Work @default.
• W4224253504 citedByCount "1" @default.
• W4224253504 countsByYear W42242535042023 @default.
• W4224253504 crossrefType "journal-article" @default.
• W4224253504 hasAuthorship W4224253504A5014480572 @default.
• W4224253504 hasAuthorship W4224253504A5037136946 @default.
• W4224253504 hasAuthorship W4224253504A5042764987 @default.
• W4224253504 hasAuthorship W4224253504A5053157377 @default.
• W4224253504 hasAuthorship W4224253504A5062972118 @default.
• W4224253504 hasBestOaLocation W42242535041 @default.
• W4224253504 hasConcept C100461760 @default.
• W4224253504 hasConcept C104317684 @default.
• W4224253504 hasConcept C105795698 @default.
• W4224253504 hasConcept C114614502 @default.
• W4224253504 hasConcept C126255220 @default.
• W4224253504 hasConcept C144024400 @default.
• W4224253504 hasConcept C154945302 @default.
• W4224253504 hasConcept C158448853 @default.
• W4224253504 hasConcept C17020691 @default.
• W4224253504 hasConcept C185592680 @default.
• W4224253504 hasConcept C2524010 @default.
• W4224253504 hasConcept C2778067643 @default.
• W4224253504 hasConcept C2779304628 @default.

• next